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ORCIDAhmed Sedik
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- affiliation: Kafrelsheikh University, Egypt
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2020 – today
- 2023
[j23]Shaymaa E. Sorour
, Amr A. Abohany, Mohamed S. Elredeny, Ahmed Sedik, Reda M. Hussien:
An Automatic Dermatology Detection System Based on Deep Learning and Computer Vision. IEEE Access 11: 137769-137778 (2023)- [j22]Basma Abd El-Rahiem, Ahmed Sedik, Ghada M. El Banby, Hani M. Ibrahem, Mohamed Amin, Oh-Young Song, Ashraf A. M. Khalaf, Fathi E. Abd El-Samie:
An efficient deep learning model for classification of thermal face images. J. Enterp. Inf. Manag. 36(3): 706-717 (2023) - [j21]Mohamed A. Elaskily, Mohamed M. Dessouky, Osama S. Faragallah, Ahmed Sedik:
A survey on traditional and deep learning copy move forgery detection (CMFD) techniques. Multim. Tools Appl. 82(22): 34409-34435 (2023) - [j20]Nora El-Rashidy, Ahmed Sedik, Ali I. Siam, Zainab Hassan Ali:
An efficient edge/cloud medical system for rapid detection of level of consciousness in emergency medicine based on explainable machine learning models. Neural Comput. Appl. 35(14): 10695-10716 (2023) - [j19]Mohamed Marey, Ahmed Sedik, Hala Mostafa:
SFBC Recognition over Orthogonal Frequency Division Multiplexing Schemes in the Presence of Inphase and Quadrature Phase Discrepancies for Cognitive Radio Applications. Sensors 23(11): 5267 (2023) - [j18]Ahmed Sedik, Mohamed Marey, Hala Mostafa:
An Adaptive Fatigue Detection System Based on 3D CNNs and Ensemble Models. Symmetry 15(6): 1274 (2023) - [j17]Ahmed Sedik, Ahmed A. Abd El-Latif, Mohammed Ahmed El-Affendi, Hala Mostafa:
A Cancelable Biometric System Based on Deep Style Transfer and Symmetry Check for Double-Phase User Authentication. Symmetry 15(7): 1426 (2023) - [j16]Mostafa Ebied, Fathy A. Elmisery, Noha A. El-Hag, Ahmed Sedik, Walid El Shafai, Ghada M. El Banby, Eman Soltan, Nayel S. Al-Zubi, Ayman M. Brisha, Abdelhalim Zekry, Ashraf A. M. Khalaf, Adel S. El-Fishawy, El-Sayed M. El-Rabaie, Waleed Al-Nuaimy, Fathi E. Abd El-Samie:
A Proposed Deep-Learning-Based Framework for Medical Image Communication, Storage and Diagnosis. Wirel. Pers. Commun. 131(4): 2331-2369 (2023) - 2022
- [j15]Riad Alharbey, Mohamed M. Dessouky, Ahmed Sedik, Ali I. Siam, Mohamed A. Elaskily:
Fatigue State Detection for Tired Persons in Presence of Driving Periods. IEEE Access 10: 79403-79418 (2022) - [j14]Mohamed Hammad, Ahmed A. Abd El-Latif, Amir Hussain, Fathi E. Abd El-Samie, Brij B. Gupta, Hassan Ugail, Ahmed Sedik:
Deep Learning Models for Arrhythmia Detection in IoT Healthcare Applications. Comput. Electr. Eng. 100: 108011 (2022) - [j13]Ali I. Siam, Naglaa F. Soliman, Abeer D. Algarni, Fathi E. Abd El-Samie, Ahmed Sedik:
Deploying Machine Learning Techniques for Human Emotion Detection. Comput. Intell. Neurosci. 2022: 8032673:1-8032673:16 (2022) - [j12]Ahmed Sedik, Amr A. Abohany, Karam M. Sallam, Kumudu S. Munasinghe, Tamer Medhat:
Deep fake news detection system based on concatenated and recurrent modalities. Expert Syst. Appl. 208: 117953 (2022) - [j11]Walid El Shafai, Ahmed Fawzi, Ahmed Sedik, Abdelhalim Zekry, Ghada M. El Banby, Ashraf A. M. Khalaf, Fathi E. Abd El-Samie, Mohammed Abd-Elnaby:
Convolutional neural network model for spectrum sensing in cognitive radio systems. Int. J. Commun. Syst. 35(6) (2022) - [j10]Basma Abd El-Rahiem, Mohamed Amin, Ahmed Sedik, Fathi E. Abd El-Samie, Abdullah M. Iliyasu:
An efficient multi-biometric cancellable biometric scheme based on deep fusion and deep dream. J. Ambient Intell. Humaniz. Comput. 13(4): 2177-2189 (2022) - [j9]Ahmed Sedik, Osama S. Faragallah, Hala S. El-sayed, Ghada M. El Banby, Fathi E. Abd El-Samie, Ashraf A. M. Khalaf, Walid El Shafai:
An efficient cybersecurity framework for facial video forensics detection based on multimodal deep learning. Neural Comput. Appl. 34(2): 1251-1268 (2022) - [j8]Ahmed Sedik, Mohamed Hammad, Fathi E. Abd El-Samie, Brij B. Gupta, Ahmed A. Abd El-Latif:
Efficient deep learning approach for augmented detection of Coronavirus disease. Neural Comput. Appl. 34(14): 11423-11440 (2022) - 2021
- [j7]Ahmed Sedik, Lo'ai Tawalbeh, Mohamed Hammad, Ahmed A. Abd El-Latif, Ghada M. El Banby, Ashraf A. M. Khalaf, Fathi E. Abd El-Samie, Abdullah M. Iliyasu:
Deep Learning Modalities for Biometric Alteration Detection in 5G Networks-Based Secure Smart Cities. IEEE Access 9: 94780-94788 (2021) - [j6]Ali I. Siam, Ahmed Sedik, Walid El Shafai, Lamiaa A. Abou Elazm, Nirmeen A. El-Bahnasawy, Ghada M. El Banby, Ashraf A. M. Khalaf, Fathi E. Abd El-Samie:
Biosignal classification for human identification based on convolutional neural networks. Int. J. Commun. Syst. 34(7) (2021) - [j5]Samia Abd El-Moneim, Ahmed Sedik, Mohamed Abd-Elsalam Nassar, Adel S. El-Fishawy, A. M. Sharshar, Shaimaa E. A. Hassan, Adel Zaghloul Mahmoud, Moawad I. Dessouky, Ghada M. El Banby, Fathi E. Abd El-Samie, El-Sayed M. El-Rabaie, Badawi Neyazi, H. S. Seddeq, Nabil A. Ismail, Ashraf A. M. Khalaf, G. S. M. Elabyad:
Text-dependent and text-independent speaker recognition of reverberant speech based on CNN. Int. J. Speech Technol. 24(4): 993-1006 (2021) - [j4]Mohamed A. Elaskily, Monagi H. Alkinani, Ahmed Sedik, Mohamed M. Dessouky:
Deep learning based algorithm (ConvLSTM) for Copy Move Forgery Detection. J. Intell. Fuzzy Syst. 40(3): 4385-4405 (2021) - 2020
- [j3]Faten Maher Al Azrak, Ahmed Sedik, Moawad I. Dessowky, Ghada M. El Banby, Ashraf A. M. Khalaf, Ahmed S. ElKorany, Fathi E. Abd El-Samie:
An efficient method for image forgery detection based on trigonometric transforms and deep learning. Multim. Tools Appl. 79(25-26): 18221-18243 (2020) - [j2]Mohamed A. Elaskily, Heba A. Elnemr, Ahmed Sedik, Mohamed M. Dessouky, Ghada M. El Banby, Osama A. Elshakankiry, Ashraf A. M. Khalaf, Heba Kamal Aslan, Osama S. Faragallah, Fathi E. Abd El-Samie:
A novel deep learning framework for copy-moveforgery detection in images. Multim. Tools Appl. 79(27-28): 19167-19192 (2020)
2010 – 2019
- 2019
- [j1]Ahmed Sedik, Heba M. Emara, Asmaa Hamad, Eman M. Shahin, Noha A. El-Hag, Ali A. Khalil, Fatma E. Ibrahim, Zeinab M. Elsherbeny, Mahmoud Elreefy, Osama Zahran, Heba Ali El-Khobby, Ghada M. El Banby, Mohamed Elwekeil, Walid El Shafai, Ashraf A. M. Khalaf, Mohamed Rihan, Waleed Al-Nuaimy, Taha E. Taha, Mahmoud A. Attia, Adel S. El-Fishawy, El-Sayed M. El-Rabaie, Moawad I. Dessouky, Nagy Wadie Messiha, Ibrahim M. Eldokany, Turky N. Alotaiby, Saleh A. Alshebeili, Fathi E. Abd El-Samie:
Efficient anomaly detection from medical signals and images. Int. J. Speech Technol. 22(3): 739-767 (2019)
Coauthor Index
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